Applied Physics (AI Training)
About The Role
What if your deep expertise in physics could directly influence how AI understands the physical world — from quantum mechanics to thermodynamics? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models, expose their reasoning failures, and help build systems that genuinely respect the fundamental laws of the universe.
This is a fully remote, flexible contract role. No prior AI experience needed — just mastery of physics and a sharp, rigorous mind.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design advanced, open-ended physics problems at PhD qualifying exam level — requiring multi-step logical reasoning and rigorous mathematical derivation
- Author detailed "golden response" solutions with flawless step-by-step workings, correct physical constants, and precise unit handling
- Audit AI-generated simulations, proofs, and explanations for physical consistency — identifying where models hallucinate physics that violates first principles
- Provide structured, expert feedback to improve AI reasoning around conservation laws, boundary conditions, and fundamental physical constraints
- Work independently and asynchronously — fully on your own schedule
Who You Are
- PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
- Deep mastery of core physics disciplines: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
- Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured prose
- Uncompromising attention to detail — units, scientific notation, and logical proof structure matter to you
- Self-motivated and consistent when working independently
- No prior AI or data annotation experience required
Nice to Have
- Experience with data annotation, scientific dataset evaluation, or quality assurance workflows
- Proficiency with tools such as MATLAB, COMSOL, or Python (NumPy/SciPy)
- Background in computational physics, experimental physics, or engineering physics
- Experience writing technical documentation or academic publications
Why Join Us
- Work on high-impact AI projects alongside leading AI research labs and teams
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, intellectually rigorous work
- Gain firsthand exposure to how cutting-edge large language models are trained and evaluated
- Contribute to ensuring AI systems reason correctly about the physical world
- Potential for ongoing work and contract extension as new projects launch
